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Related Questions
- What are the key factors to consider when designing an active learning strategy for image classification tasks?
- Can you explain the difference between uncertainty sampling and expected model change methods in active learning for image classification?
- How does the selection of query strategies (e.g., uncertainty, entropy, margin) impact the performance of an active learning model?
- What are some common metrics used to evaluate the performance of an active learning model in image classification?
- Can you discuss the trade-off between exploration and exploitation in active learning for image classification?
- How does the size of the initial labeled dataset affect the performance of an active learning model in image classification?
- What are some techniques used to reduce the annotation cost or increase the efficiency of active learning in image classification?
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